Title: Flocking Boids with Geometric Vision, Perception and Recognition
Authors: Holland, James
Semwal, Sudhanshu Kumar
Citation: WSCG '2009: Full Papers Proceedings: The 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia Plzen, Czech Republic, February 2 - 5, 2009, p. 211-218.
Issue Date: 2009
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2009/Papers_2009/!_WSCG2009_Full_final.zip
ISBN: 978-80-86943-93-0
Keywords: generování animací;simulace flockování;geometrické vidění;algoritmy vnímání;algoritmy rozpoznávání
Keywords in different language: generating animations;flocking simulation;geometric vision;perception algorithms;recognition algoritms
Abstract: In the natural world, we see endless examples of the behavior known as flocking. From the perspective of graphics simulation, the mechanics of flocking has been reduced down to a few basic behavioral rules. Reynolds coined the term Boid to refer to any simulated flocking, and simulated flocks by collision avoidance, velocity matching, and flock centering. Though these rules have been given other names by various researchers, implementing them into a simulation generally yields good flocking behavior. Most implementations of flocking use a forward looking visual model in which the boids sees everything around it. Our work creates a more realistic model of avian vision by including the possibility of a variety of geometric vision ranges and simple visual recognition based on what boids can see. In addition, a perception algorithm has been implemented which can determine similarity between any two boids. This makes it possible to simulate different boids simultaneously. Results of our simulations are summarized.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2009: Full Papers Proceedings

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